CAs suffer from the problem of generating dull and generic responses [1]}, [2]}. To address this issue, topic models are used to produce focused responses augmenting existing neural based approaches to CAs [3]}. Targeted responses employ self-disclosure as a strategic approach for building an engaging conversation [4]}. For SE detection, topic models [5]} and NLP of conversations [6]} are leveraged. However, all of these approaches are limited to a pre-defined set of topics, constrained by the training corpus.
